Advanced PV modules inspection using multirotor UAV

Tyutyundzhiev, Nicolay; Lovchinov, K.; Martínez Moreno, Francisco; Leloux, Jonathan y Narvarte Fernández, Luis (2015). Advanced PV modules inspection using multirotor UAV. En: "31st European Photovoltaic Solar Energy Conference and Exhibition", 14/09/2015 - 18/09/2015, Hamburg, Germany. pp. 1-5.

Descripción

Título: Advanced PV modules inspection using multirotor UAV
Autor/es:
  • Tyutyundzhiev, Nicolay
  • Lovchinov, K.
  • Martínez Moreno, Francisco
  • Leloux, Jonathan
  • Narvarte Fernández, Luis
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 31st European Photovoltaic Solar Energy Conference and Exhibition
Fechas del Evento: 14/09/2015 - 18/09/2015
Lugar del Evento: Hamburg, Germany
Título del Libro: 31st European Photovoltaic Solar Energy Conference and Exhibition
Fecha: 2015
Materias:
Palabras Clave Informales: PV module inspection, Infrared imaging, 3D photomapping, multirotor UAV
Escuela: Instituto de Energía Solar (IES) (UPM)
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Large-scale PV fields are a complicated target for monitoring and performance evaluation. In this paper, field experience with multirotor UAV has been reported. A X-frame quadcopter equipped with various VIS and IR cameras is used to detect defects responsible for performance degradation. Usually in laboratory environment, hi-res VIS photos, EL photos and far- IR photos of single module are used for diagnostic purposes. However, on-field PV plant testing procedures need faster methods for batch processing. Our investigations confirm that new robotics and avionics equipment for close-range flights over PV modules combined with cameras can reveal hidden problems of materials quality and device reliability. Various new tasks, as high resolution aerial photography, 3D photogrammetry, 3D field and building reconstruction can be involved as testing methods for performance optimization of photovoltaic installations.

Proyectos asociados

TipoCódigoAcrónimoResponsableTítulo
FP7308468PVCROPSUniversidad Politécnica de MadridPhotoVoltaic Cost r€duction, Reliability, Operational performance, Prediction and Simulation

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ID de Registro: 42005
Identificador DC: http://oa.upm.es/42005/
Identificador OAI: oai:oa.upm.es:42005
Depositado por: Memoria Investigacion
Depositado el: 10 Sep 2016 09:00
Ultima Modificación: 17 Oct 2016 13:31
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